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elliptic-envelope

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At Infosys Springboard, I worked on a project focused on unsupervised anomaly detection in healthcare providers. I implemented three machine learning algorithms—Isolation Forest, Elliptic Envelope, and One-Class SVM—as well as a deep learning approach using autoencoders. Additionally, I conducted individual SHAP analysis

  • Updated Oct 14, 2024
  • Jupyter Notebook

This repository hosts a comprehensive, web-based Anomaly Detection platform designed to identify irregularities across three distinct domains: Network Security, Industrial Manufacturing, and Medical Imaging. Built with Flask REST API and powered by PyTorch and Scikit-learn.

  • Updated Mar 16, 2026
  • Python

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